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rm CastOutputToFloat when finetuning #81

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rm CastOutputToFloat when finetuning #81

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4 changes: 2 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ tokenization
python tokenize_dataset_rows.py \
--jsonl_path data/alpaca_data.jsonl \
--save_path data/alpaca \
--max_seq_length 200 \
--max_seq_length 200 \
--skip_overlength
```

Expand Down Expand Up @@ -99,4 +99,4 @@ python finetune.py \

- ~~bs > 1 support~~
- 使用中文数据
- 加入RLHF
- 加入RLHF
5 changes: 0 additions & 5 deletions finetune.py
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Expand Up @@ -20,10 +20,6 @@ class FinetuneArguments:
lora_rank: int = field(default=8)


class CastOutputToFloat(nn.Sequential):
def forward(self, x):
return super().forward(x).to(torch.float32)


def get_masks_and_position_ids(
seq, seq_len, context_length, device, gmask=False, position_encoding_2d=True
Expand Down Expand Up @@ -126,7 +122,6 @@ def main():
model.enable_input_require_grads()
model.is_parallelizable = True
model.model_parallel = True
model.lm_head = CastOutputToFloat(model.lm_head)
model.config.use_cache = (
False # silence the warnings. Please re-enable for inference!
)
Expand Down